PGVector
yaml
type: "io.kestra.plugin.ai.embeddings.pgvector"
Examples
yaml
id: document_ingestion
namespace: company.ai
tasks:
- id: ingest
type: io.kestra.plugin.ai.rag.IngestDocument
provider:
type: io.kestra.plugin.ai.provider.GoogleGemini
modelName: gemini-embedding-exp-03-07
apiKey: "{{ kv('GEMINI_API_KEY') }}"
embeddings:
type: io.kestra.plugin.ai.embeddings.PGVector
host: localhost
port: 5432
user: "{{ kv('POSTGRES_USER') }}"
password: "{{ kv('POSTGRES_PASSWORD') }}"
database: postgres
table: embeddings
fromExternalURLs:
- https://raw.githubusercontent.com/kestra-io/docs/refs/heads/main/content/blogs/release-0-24.md
Properties
database *Requiredstring
host *Requiredstring
password *Requiredstring
port *Requiredintegerstring
table *Requiredstring
user *Requiredstring
useIndex booleanstring
Default
false